Daniela Ushizima, PhD and AI Computational Pathology

Join us as we delve into the exciting possibilities enabled by computational pathology using AI.

UCSF’s Center for Intelligent Imaging (ci²) will welcome Daniela Ushizima, PhD, as she conducts her seminar, “Unlocking Innovative Applications in Computational Pathology with AI: Cancer Cell Classification and Alzheimer's Biomarker Detection.” This talk continues ci²’s Third Anniversary Celebration, marked by events throughout 2023.

Dr. Ushizima is an Affiliate Faculty of the Bakar Computational Health Sciences Institute (BCHSI) at UCSF and is a Staff Scientist in the Math for Experimental Data Analysis Group in the Computational Research Division at Berkeley Lab, where she leads the Image Processing/Machine Vision team at CAMERA. She also leads the Center for Recognition and Inspection of Cells (CRIC) at Berkeley, where her research focuses on imaging cancer cells for early-stage disease diagnosis.

This seminar will highlight the groundbreaking potential of AI in computational pathology, showcasing novel AI approaches that can provide new insights in critical healthcare areas such as cancer cell classification and detecting Alzheimer's disease biomarkers. Additionally, we will discuss the transformative impact of ci² to enhance our technical skills, expand our perspective on AI and image analysis, and keep us at the forefront of computer vision research in medical imaging.